Scientific Data Analyst / Algorithms Researcher Oxford, England
Job description
Oxford Nanopore Technologies is headquartered at the Oxford Science Park outside Oxford, UK, with satellite offices and commercial presence in many global locations across the US, APAC and Europe.
Oxford Nanopore employs from multiple subject areas including Nanopore science, molecular biology and applications, informatics, engineering, electronics, manufacturing and commercialisation. The management team, led by CEO Dr Gordon Sanghera, has a track record of delivering disruptive technologies to the market.
Oxford Nanopore's sequencing platform is the only technology that offers real-time analysis (for rapid insights), in fully scalable formats from pocket to population scale, that can analyse native DNA or RNA and sequence any length of fragment to achieve short to ultra-long read lengths.
Our goal is to enable the analysis of any living thing, by anyone, anywhere. We offer real-time Nanopore-based DNA/RNA sequencing technology: accessible, easy to use and fully scalable for any requirement.
We are looking for a highly motivated individual to join our Machine Learning Research group as a Scientific Data Analyst / Algorithms Researcher. This exciting and challenging role involves exploratory analysis of nanopore sequencing data and development of new data analysis methods!
The Details...
As a member of the Machine Learning Research group you will:
- Perform exploratory analysis research projects to identify leads to improving platform accuracy.
- Prototype and implement new algorithms and machine learning methods to follow up leads.
- Consolidate analyses into reproducible, standardised, and scalable tools when they become routine.
Examples of projects you might work on include analysing sequencing data to inform research priorities, developing consensus and variant callers, or crafting nanopore-tailored bioinformatics tools.
The ability to interact with scientists to propose a hypothesis, help plan an experiment, provide custom analysis to examine a dataset, and refine the hypothesis, is crucial along with a strong understanding of scientific methods and excellent interpersonal skills.
What We're Looking For...
We expect you to have a PhD (or equivalent industry experience) in Physics, Mathematics, Computer Science, Bioinformatics or a related subject!
Knowledge, skills and abilities in the following areas are essential:
- Excellent working knowledge of applied statistics.
- Fundamentals of experimental design, training and validation of statistical models.
- Substantial experience of developing new methods to analyse data in bioinformatics/computational biology or the physical sciences.
- Strong programming skills (Python)
- Development of software containing a substantial numerical component.
- Use of Linux/Unix environment and associated development toolchain.
- Working in a time-critical environment with responsibility for reporting progress.
- Ability to carefully document your work.
Ideally, you will also have knowledge or familiarity in the following areas:
- An appreciation of techniques fundamental to bioinformatics including sequencing data analysis methods.
- Prototyping new algorithms, implementing methods directly from research papers.
- Exposure to high-level machine learning frameworks (e.g. keras).
- Familiarity with C.
You should be able to quickly understand complex scientific problems and work with a high degree of independence.
We are looking for an innovative and pragmatic candidate who is keen to learn new skills, be willing to listen and adapt with the changing requirements of the department.
Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
#LI-JC1
Oxford Nanopore's goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere. The company has developed a new generation of nanopore-based sensing technology enabling the real-time, high-performance, accessible and scalable analysis of DNA and RNA. The technology is used in more than 100 countries to understand the biology of humans and diseases, plants, animals, bacteria, viruses and whole environments.
Oxford Nanopore was founded in 2005 as a spin-out from the University of Oxford and now employs around 650 employees around the world.
